DOCUMENTATION

A clear path
from idea to integration.

Choose the surface you are building for. Start with the integration lifecycle, then follow the authentication and request examples for your deployment.

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PICK YOUR PATH

Build where your users are.

JavaScript widget

Add an analysis experience beside your application’s reports. Follow the configuration, authentication, and session guide.

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REST API

Initialize sessions, upload datasets, stream chat responses, and retrieve dashboard specifications.

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MCP preview

Explore the staged integration for compatible AI clients and its explicit workbook grants.

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Excel add-in

See the supported task-pane workflow and arrange installation and activation.

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Chrome extension

Understand browser-table analysis and contact us for workspace activation.

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Private connector

Review how the outbound connector reaches approved data inside your network.

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THE INTEGRATION LIFECYCLE

Configure once.
Build from there.

The product is branded tableArth.ai. Existing APIs retain the tableai path for compatibility. Use the documented endpoints, not guessed /v1 routes.

  1. Set up the agent

    An administrator configures the model, allowed origins, privacy settings, and credentials for the integration.

  2. Initialize and provide data

    Authenticate using the documented method, initialize a session, then provide data if the session needs it.

  3. Ask and render

    Send a question, handle streaming responses, and display charts or dashboard specifications when ready.

AI native starts with your data

Your data. Your questions. More possibilities.

Connect a source, explore twelve dashboard examples, and see how an AI native workspace fits the way your team works.

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